src/core/NEON/kernels/NEUpsampleLayerKernel.cpp - ml/ComputeLibrary - Gitiles

 /*
  * Copyright (c) 2018-2020 Arm Limited.
  *
  * SPDX-License-Identifier: MIT
  *
  * Permission is hereby granted, free of charge, to any person obtaining a copy
  * of this software and associated documentation files (the "Software"), to
  * deal in the Software without restriction, including without limitation the
  * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
  * sell copies of the Software, and to permit persons to whom the Software is
  * furnished to do so, subject to the following conditions:
  *
  * The above copyright notice and this permission notice shall be included in all
  * copies or substantial portions of the Software.
  *
  * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
  * SOFTWARE.
  */
 #include "src/core/NEON/kernels/NEUpsampleLayerKernel.h"

 #include "arm_compute/core/Error.h"
 #include "arm_compute/core/Helpers.h"
 #include "arm_compute/core/ITensor.h"
 #include "arm_compute/core/TensorInfo.h"
 #include "arm_compute/core/Validate.h"
 #include "arm_compute/core/Window.h"
 #include "arm_compute/core/utils/misc/ShapeCalculator.h"
 #include "src/core/CPP/Validate.h"
 #include "src/core/NEON/wrapper/wrapper.h"
 #include "src/core/helpers/AutoConfiguration.h"
 #include "src/core/helpers/WindowHelpers.h"

 #include <arm_neon.h>

 namespace arm_compute
 {
 namespace
 {
 template <typename T, int S>
 inline T get_data_out(T data, int offset)
 {
     T out{ 0 };
     for(int i = 0; i < S / 2; ++i)
     {
         out[2 * i]     = wrapper::vgetlane(data, i + offset);
         out[2 * i + 1] = wrapper::vgetlane(data, i + offset);
     }
     return out;
 }
 } // namespace
 NEUpsampleLayerKernel::NEUpsampleLayerKernel()
     : _func(nullptr), _input(nullptr), _output(nullptr), _info()
 {
 }

 Status NEUpsampleLayerKernel::validate(const ITensorInfo *input, const ITensorInfo *output, const Size2D &info, const InterpolationPolicy policy)
 {
     ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_UNUSED(policy);

     const DataLayout data_layout = input->data_layout();
     const int        idx_width   = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
     const int        idx_height  = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);

     ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
     ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8_SIGNED, DataType::QASYMM8, DataType::F16, DataType::F32);
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 || info.y() != 2, "Only stride 2 is supported");
     ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");

     // Check output if configured
     if(output->total_size() != 0)
     {
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
         ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
         ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
         ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
     }
     return Status{};
 }

 template <typename T, int S>
 void NEUpsampleLayerKernel::upsample_nchw(const arm_compute::Window &window)
 {
     using VectorType = typename wrapper::traits::neon_vector<T, S>::type;

     Window window_in(window);
     window_in.set(Window::DimX, Window::Dimension(0, 1, 1));

     Window window_out(window);
     window_out.set(Window::DimX, Window::Dimension(0, 1, 1));
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

     const auto window_start_x = static_cast<int>(window.x().start());
     const auto window_end_x   = static_cast<int>(window.x().end());
     const int  window_step_x  = S;

     Iterator  input(_input, window_in);
     Iterator  output(_output, window_out);
     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const auto input_ptr  = reinterpret_cast<const T *>(input.ptr());
         const auto output_ptr = reinterpret_cast<T *>(output.ptr());

         int x = window_start_x;
         for(; x <= (window_end_x - window_step_x); x += window_step_x)
         {
             const VectorType data      = wrapper::vloadq(reinterpret_cast<const T *>(input_ptr + x));
             const VectorType data_out1 = get_data_out<VectorType, S>(data, 0);
             const VectorType data_out2 = get_data_out<VectorType, S>(data, S / 2);

             wrapper::vstore(output_ptr + 2 * x, data_out1);
             wrapper::vstore(output_ptr + 2 * x + S, data_out2);
             wrapper::vstore(output_ptr + 2 * x + offset_y_out, data_out1);
             wrapper::vstore(output_ptr + 2 * x + offset_y_out + S, data_out2);
         }

         // Compute left-over elements
         for(; x < window_end_x; ++x)
         {
             *(output_ptr + 2 * x)                    = *(input_ptr + x);
             *(output_ptr + 2 * x + 1)                = *(input_ptr + x);
             *(output_ptr + 2 * x + offset_y_out)     = *(input_ptr + x);
             *(output_ptr + 2 * x + offset_y_out + 1) = *(input_ptr + x);
         }
     },
     input, output);
 }

 template <typename T, int S>
 void NEUpsampleLayerKernel::upsample_nhwc(const arm_compute::Window &window)
 {
     using VectorType = typename wrapper::traits::neon_vector<T, S>::type;

     Window window_out(window);
     window_out.set(Window::DimX, Window::Dimension(0, 1, 1));
     window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
     window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

     const auto window_start_x = static_cast<int>(window.x().start());
     const auto window_end_x   = static_cast<int>(window.x().end());
     const int  window_step_x  = S;

     Window window_in{ window };
     window_in.set(Window::DimX, Window::Dimension(0, 1, 1));

     Iterator input(_input, window_in);
     Iterator output(_output, window_out);

     const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T);
     const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(T);

     execute_window_loop(window_out, [&](const Coordinates &)
     {
         const auto input_ptr  = reinterpret_cast<const T *>(input.ptr());
         const auto output_ptr = reinterpret_cast<T *>(output.ptr());

         int x = window_start_x;
         for(; x <= (window_end_x - window_step_x); x += window_step_x)
         {
             const VectorType data = wrapper::vloadq(reinterpret_cast<const T *>(input_ptr + x));

             wrapper::vstore(output_ptr + x, data);
             wrapper::vstore(output_ptr + x + offset_y_out, data);
             wrapper::vstore(output_ptr + x + offset_z_out, data);
             wrapper::vstore(output_ptr + x + offset_y_out + offset_z_out, data);
         }

         // Compute left-over elements
         for(; x < window_end_x; ++x)
         {
             *(output_ptr + x)                               = *(input_ptr + x);
             *(output_ptr + x + offset_y_out)                = *(input_ptr + x);
             *(output_ptr + x + offset_z_out)                = *(input_ptr + x);
             *(output_ptr + x + offset_y_out + offset_z_out) = *(input_ptr + x);
         }
     },
     input, output);
 }

 void NEUpsampleLayerKernel::configure(const ITensor *input, ITensor *output, const Size2D &info, const InterpolationPolicy policy)
 {
     ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
     ARM_COMPUTE_UNUSED(policy);

     _input  = input;
     _output = output;
     _info   = info;

     const DataLayout data_layout = input->info()->data_layout();

     TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
     auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
     output->info()->set_data_layout(data_layout);

     // Perform validation step
     ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));

     switch(data_layout)
     {
         case DataLayout::NCHW:
         {
             switch(input->info()->data_type())
             {
                 case DataType::QASYMM8_SIGNED:
                     _func = &NEUpsampleLayerKernel::upsample_nchw<int8_t, 16>;
                     break;
                 case DataType::QASYMM8:
                     _func = &NEUpsampleLayerKernel::upsample_nchw<uint8_t, 16>;
                     break;
                 case DataType::F32:
                     _func = &NEUpsampleLayerKernel::upsample_nchw<float, 4>;
                     break;
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
                 case DataType::F16:
                     _func = &NEUpsampleLayerKernel::upsample_nchw<float16_t, 8>;
                     ;
                     break;
 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
                 default:
                     ARM_COMPUTE_ERROR("Not implemented");
             }
             break;
         }
         case DataLayout::NHWC:
         {
             switch(input->info()->data_type())
             {
                 case DataType::QASYMM8_SIGNED:
                     _func = &NEUpsampleLayerKernel::upsample_nhwc<int8_t, 16>;
                     break;
                 case DataType::QASYMM8:
                     _func = &NEUpsampleLayerKernel::upsample_nhwc<uint8_t, 16>;
                     break;
                 case DataType::F32:
                     _func = &NEUpsampleLayerKernel::upsample_nhwc<float, 4>;
                     break;
 #ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
                 case DataType::F16:
                     _func = &NEUpsampleLayerKernel::upsample_nhwc<float16_t, 8>;
                     break;
 #endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
                 default:
                     ARM_COMPUTE_ERROR("Not implemented");
             }
             break;
         }
         default:
             ARM_COMPUTE_ERROR("Not implemented");
     }

     // Configure window
     Window      win = calculate_max_window(*input->info(), Steps());
     Coordinates coord;
     coord.set_num_dimensions(output->info()->num_dimensions());
     output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
     INEKernel::configure(win);
 }

 void NEUpsampleLayerKernel::run(const Window &window, const ThreadInfo &info)
 {
     ARM_COMPUTE_UNUSED(info);
     ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
     ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
     ARM_COMPUTE_ERROR_ON(_func == nullptr);

     (this->*_func)(window);
 }
 } // namespace arm_compute
	/*
	* Copyright (c) 2018-2020 Arm Limited.
	*
	* SPDX-License-Identifier: MIT
	*
	* Permission is hereby granted, free of charge, to any person obtaining a copy
	* of this software and associated documentation files (the "Software"), to
	* deal in the Software without restriction, including without limitation the
	* rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
	* sell copies of the Software, and to permit persons to whom the Software is
	* furnished to do so, subject to the following conditions:
	*
	* The above copyright notice and this permission notice shall be included in all
	* copies or substantial portions of the Software.
	*
	* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
	* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
	* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
	* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
	* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
	* OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
	* SOFTWARE.
	*/
	#include "src/core/NEON/kernels/NEUpsampleLayerKernel.h"

	#include "arm_compute/core/Error.h"
	#include "arm_compute/core/Helpers.h"
	#include "arm_compute/core/ITensor.h"
	#include "arm_compute/core/TensorInfo.h"
	#include "arm_compute/core/Validate.h"
	#include "arm_compute/core/Window.h"
	#include "arm_compute/core/utils/misc/ShapeCalculator.h"
	#include "src/core/CPP/Validate.h"
	#include "src/core/NEON/wrapper/wrapper.h"
	#include "src/core/helpers/AutoConfiguration.h"
	#include "src/core/helpers/WindowHelpers.h"

	#include <arm_neon.h>

	namespace arm_compute
	{
	namespace
	{
	template <typename T, int S>
	inline T get_data_out(T data, int offset)
	{
	T out{ 0 };
	for(int i = 0; i < S / 2; ++i)
	{
	out[2 * i] = wrapper::vgetlane(data, i + offset);
	out[2 * i + 1] = wrapper::vgetlane(data, i + offset);
	}
	return out;
	}
	} // namespace
	NEUpsampleLayerKernel::NEUpsampleLayerKernel()
	: _func(nullptr), _input(nullptr), _output(nullptr), _info()
	{
	}

	Status NEUpsampleLayerKernel::validate(const ITensorInfo input, const ITensorInfo output, const Size2D &info, const InterpolationPolicy policy)
	{
	ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
	ARM_COMPUTE_UNUSED(policy);

	const DataLayout data_layout = input->data_layout();
	const int idx_width = get_data_layout_dimension_index(data_layout, DataLayoutDimension::WIDTH);
	const int idx_height = get_data_layout_dimension_index(data_layout, DataLayoutDimension::HEIGHT);

	ARM_COMPUTE_RETURN_ERROR_ON_CPU_F16_UNSUPPORTED(input);
	ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QASYMM8_SIGNED, DataType::QASYMM8, DataType::F16, DataType::F32);
	ARM_COMPUTE_RETURN_ERROR_ON_MSG(info.x() != 2 \|\| info.y() != 2, "Only stride 2 is supported");
	ARM_COMPUTE_RETURN_ERROR_ON_MSG(policy != InterpolationPolicy::NEAREST_NEIGHBOR, "Only nearest neighbor policy supported");

	// Check output if configured
	if(output->total_size() != 0)
	{
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(input, output);
	ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_width) != info.x() * input->dimension(idx_width));
	ARM_COMPUTE_RETURN_ERROR_ON(output->dimension(idx_height) != info.y() * input->dimension(idx_height));
	ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
	}
	return Status{};
	}

	template <typename T, int S>
	void NEUpsampleLayerKernel::upsample_nchw(const arm_compute::Window &window)
	{
	using VectorType = typename wrapper::traits::neon_vector<T, S>::type;

	Window window_in(window);
	window_in.set(Window::DimX, Window::Dimension(0, 1, 1));

	Window window_out(window);
	window_out.set(Window::DimX, Window::Dimension(0, 1, 1));
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.y()));

	const auto window_start_x = static_cast<int>(window.x().start());
	const auto window_end_x = static_cast<int>(window.x().end());
	const int window_step_x = S;

	Iterator input(_input, window_in);
	Iterator output(_output, window_out);
	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const auto input_ptr = reinterpret_cast<const T *>(input.ptr());
	const auto output_ptr = reinterpret_cast<T *>(output.ptr());

	int x = window_start_x;
	for(; x <= (window_end_x - window_step_x); x += window_step_x)
	{
	const VectorType data = wrapper::vloadq(reinterpret_cast<const T *>(input_ptr + x));
	const VectorType data_out1 = get_data_out<VectorType, S>(data, 0);
	const VectorType data_out2 = get_data_out<VectorType, S>(data, S / 2);

	wrapper::vstore(output_ptr + 2 * x, data_out1);
	wrapper::vstore(output_ptr + 2 * x + S, data_out2);
	wrapper::vstore(output_ptr + 2 * x + offset_y_out, data_out1);
	wrapper::vstore(output_ptr + 2 * x + offset_y_out + S, data_out2);
	}

	// Compute left-over elements
	for(; x < window_end_x; ++x)
	{
	(output_ptr + 2 x) = *(input_ptr + x);
	(output_ptr + 2 x + 1) = *(input_ptr + x);
	(output_ptr + 2 x + offset_y_out) = *(input_ptr + x);
	(output_ptr + 2 x + offset_y_out + 1) = *(input_ptr + x);
	}
	},
	input, output);
	}

	template <typename T, int S>
	void NEUpsampleLayerKernel::upsample_nhwc(const arm_compute::Window &window)
	{
	using VectorType = typename wrapper::traits::neon_vector<T, S>::type;

	Window window_out(window);
	window_out.set(Window::DimX, Window::Dimension(0, 1, 1));
	window_out.set(Window::DimY, Window::Dimension(0, _output->info()->dimension(1), _info.x()));
	window_out.set(Window::DimZ, Window::Dimension(0, _output->info()->dimension(2), _info.y()));

	const auto window_start_x = static_cast<int>(window.x().start());
	const auto window_end_x = static_cast<int>(window.x().end());
	const int window_step_x = S;

	Window window_in{ window };
	window_in.set(Window::DimX, Window::Dimension(0, 1, 1));

	Iterator input(_input, window_in);
	Iterator output(_output, window_out);

	const int offset_y_out = _output->info()->strides_in_bytes().y() / sizeof(T);
	const int offset_z_out = _output->info()->strides_in_bytes().z() / sizeof(T);

	execute_window_loop(window_out, [&](const Coordinates &)
	{
	const auto input_ptr = reinterpret_cast<const T *>(input.ptr());
	const auto output_ptr = reinterpret_cast<T *>(output.ptr());

	int x = window_start_x;
	for(; x <= (window_end_x - window_step_x); x += window_step_x)
	{
	const VectorType data = wrapper::vloadq(reinterpret_cast<const T *>(input_ptr + x));

	wrapper::vstore(output_ptr + x, data);
	wrapper::vstore(output_ptr + x + offset_y_out, data);
	wrapper::vstore(output_ptr + x + offset_z_out, data);
	wrapper::vstore(output_ptr + x + offset_y_out + offset_z_out, data);
	}

	// Compute left-over elements
	for(; x < window_end_x; ++x)
	{
	(output_ptr + x) = (input_ptr + x);
	(output_ptr + x + offset_y_out) = (input_ptr + x);
	(output_ptr + x + offset_z_out) = (input_ptr + x);
	(output_ptr + x + offset_y_out + offset_z_out) = (input_ptr + x);
	}
	},
	input, output);
	}

	void NEUpsampleLayerKernel::configure(const ITensor input, ITensor output, const Size2D &info, const InterpolationPolicy policy)
	{
	ARM_COMPUTE_ERROR_ON_NULLPTR(input, output);
	ARM_COMPUTE_UNUSED(policy);

	_input = input;
	_output = output;
	_info = info;

	const DataLayout data_layout = input->info()->data_layout();

	TensorShape output_shape = misc::shape_calculator::compute_upsample_shape(*input->info(), info);
	auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
	output->info()->set_data_layout(data_layout);

	// Perform validation step
	ARM_COMPUTE_ERROR_THROW_ON(NEUpsampleLayerKernel::validate(input->info(), output->info(), info, policy));

	switch(data_layout)
	{
	case DataLayout::NCHW:
	{
	switch(input->info()->data_type())
	{
	case DataType::QASYMM8_SIGNED:
	_func = &NEUpsampleLayerKernel::upsample_nchw<int8_t, 16>;
	break;
	case DataType::QASYMM8:
	_func = &NEUpsampleLayerKernel::upsample_nchw<uint8_t, 16>;
	break;
	case DataType::F32:
	_func = &NEUpsampleLayerKernel::upsample_nchw<float, 4>;
	break;
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	case DataType::F16:
	_func = &NEUpsampleLayerKernel::upsample_nchw<float16_t, 8>;
	;
	break;
	#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}
	break;
	}
	case DataLayout::NHWC:
	{
	switch(input->info()->data_type())
	{
	case DataType::QASYMM8_SIGNED:
	_func = &NEUpsampleLayerKernel::upsample_nhwc<int8_t, 16>;
	break;
	case DataType::QASYMM8:
	_func = &NEUpsampleLayerKernel::upsample_nhwc<uint8_t, 16>;
	break;
	case DataType::F32:
	_func = &NEUpsampleLayerKernel::upsample_nhwc<float, 4>;
	break;
	#ifdef __ARM_FEATURE_FP16_VECTOR_ARITHMETIC
	case DataType::F16:
	_func = &NEUpsampleLayerKernel::upsample_nhwc<float16_t, 8>;
	break;
	#endif /* __ARM_FEATURE_FP16_VECTOR_ARITHMETIC */
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}
	break;
	}
	default:
	ARM_COMPUTE_ERROR("Not implemented");
	}

	// Configure window
	Window win = calculate_max_window(*input->info(), Steps());
	Coordinates coord;
	coord.set_num_dimensions(output->info()->num_dimensions());
	output->info()->set_valid_region(ValidRegion(coord, output->info()->tensor_shape()));
	INEKernel::configure(win);
	}

	void NEUpsampleLayerKernel::run(const Window &window, const ThreadInfo &info)
	{
	ARM_COMPUTE_UNUSED(info);
	ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
	ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(INEKernel::window(), window);
	ARM_COMPUTE_ERROR_ON(_func == nullptr);

	(this->*_func)(window);
	}
	} // namespace arm_compute